homework12

core loss efeect matlab files

指纹识别源代码。思路完全是按照文件夹中网页里介绍的方法，即提取指纹中的分叉点和端点的位置作为指纹的特征值。由于今天太忙，对图像的预处理作的很失败，程序会提取出很多伪点，而指纹轮廓也没有想出办法过滤。汗，你看看能不能参考把。 三个m文件，fd.m提取指纹中的分叉点，fd2.m提取指纹中的端点，Cpoint.m则是前两个文件运行中需要调用的掩模函数。(fingerprint identification code. Thinking is entirely in accordance with the folder on the website Lane, that the fingerprints of the bifurcation point and endpoint position as a fingerprint eigenvalues. As today are too busy, the image preprocessing for the failure, the program will extract a lot of pseudo-point, and the fingerprint profile nor find a way to filter. Khan, you can look at the information put. 3 m documents, fingerprints fd.m the bifurcation point, fd2.m fingerprints of endpoint, Cpoint.m are two documents before the operation need to call the mask function.)

用MATLAB和VC对图像用SUSAN算法和Harris算法进行图像角点提取，还有自适应的SUSAN算法的角点提取(MATLAB and VC with SUSAN Harris algorithm for image image corner extraction, and adaptive SUSAN corner extraction algorithm)

Aplication values with NetbeansIDE

optimizing code & lDPC

matlab 实用程序百例，汇集了大多数值运算，图像图像处理等实例。(Matlab utility hundred cases, gathers most value calculation, and image processing images as examples.)

对一种三相无源功率因数校正电路进行了参数的优化和仿真，仿真结果表明，运用Matlab中的SimPowerSystems模块对复杂的电路进行仿真分析和研究，不失为一种准确、直观有效的方法。 (Of a three-phase passive power factor correction circuit parameter optimization and simulation results show that the use of Matlab in SimPowerSystems module circuit simulation of complex analysis and research, after all, a precise, direct and effective way.)

关于非线性拟合的介绍， 与处理适合初学者的使用。(Introduction of non-linear fitting, and processing for beginners use.)

通过边界集中识别图像形状特性，并返回数值(Images by identifying the boundary shape characteristics of centralized and return values)

matlab版本的 SVM，利用了遗传算子对C,G两个参数进行了寻优。(matlab version of the SVM, using the genetic operator on C, G two parameters of the optimization.)